Cesaroni Giulia, Venturini Giorgia, Paglione Lorenzo, Angelici Laura, Sorge Chiara, Marino Claudia, Davoli Marina, Agabiti Nerina
Dipartimento di epidemiologia del Servizio sanitario regionale, ASL Roma 1, Roma;
Sapienza, Università di Roma.
Epidemiol Prev. 2020 Sep-Dec;44(5-6 Suppl 1):31-37. doi: 10.19191/EP20.5-6.S1.P031.071.
to investigate the association between real estate prices, education, and mortality.
cohort study.
residents in Rome at the 2011 Italian Census, not living in institutions, and living in the address reported in the Census survey. People aged 18-99 years were followed from 2011 to 2016 using anonymous record linkage procedures with administrative databases. The Census includes several individual information, such as gender, age, education, residential neighbourhood. Data and cause of death were collected from mortality register. Real estate prices (euros/m2) were available for each neighbourhood.
adjusted Cox regression models (hazard ratios - HRs and 95%CIs) were used to estimate the association among individual education, real estate price in the neighbourhood, and mortality.
the subjects selected were 2,051,376 (54% women, 22.5% with high education level). During the follow-up, 127,352 subjects died. Taking into account gender, age, marital status, and real estate prices, education level was strongly associated with all-cause mortality; compared to highly educated the higher mortality, risk was 35% (95%CI 32%-37%) for low education level and 16% (95%CI 14%-19%) for medium education level. Taking into account the same factors and education level, each increase of 1,000 euros in price/m2 was inversely associated with mortality (HR 0.96, 95%CI 0.96-0.97).
there is an independent association between the two indicators and mortality in Rome. A simple indicator such as real estate prices can be used to tackle inequalities.
研究房地产价格、教育与死亡率之间的关联。
队列研究。
2011年意大利人口普查时居住在罗马、不住在机构里且居住在人口普查调查中报告地址的居民。使用与行政数据库的匿名记录链接程序，对18 - 99岁的人群从2011年至2016年进行随访。人口普查包含若干个人信息，如性别、年龄、教育程度、居住社区。数据和死亡原因从死亡率登记册收集。每个社区都有房地产价格（欧元/平方米）数据。
使用调整后的Cox回归模型（风险比 - HRs和95%置信区间）来估计个人教育程度、社区房地产价格与死亡率之间的关联。
选取的研究对象为2,051,376人（54%为女性，22.5%为高学历水平）。随访期间，127,352名研究对象死亡。考虑到性别﹑年龄、婚姻状况和房地产价格，教育程度与全因死亡率密切相关；与高学历者相比，低学历者的死亡风险高35%（95%置信区间32% - 37%），中等学历者的死亡风险高16%（95%置信区间14% - 19%）。考虑到相同因素和教育程度，每平方米价格每增加1000欧元与死亡率呈负相关（HR 0.96，95%置信区间0.96 - 0.97）。
在罗马，这两个指标与死亡率之间存在独立关联。房地产价格这样的简单指标可用于解决不平等问题。
